Triple
T17311513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Gaskell |
E420308
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Holby City |
E374377
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Holby City | Statement: [Lucy Gaskell, notableWork, Holby City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holby City Context triple: [Lucy Gaskell, notableWork, Holby City]
-
A.
Holby City
chosen
Holby City is a long-running British medical drama television series set in a fictional hospital, focusing on the professional and personal lives of its staff.
-
B.
Casualty
Casualty is a long-running British medical drama television series centered on the staff and patients of a hospital emergency department.
-
C.
HolbyBlue
HolbyBlue is a British police procedural drama series set in the same fictional city and universe as the medical drama Holby City.
-
D.
Call the Midwife
Call the Midwife is a British period drama television series that follows a group of midwives working in London’s impoverished East End during the 1950s and 1960s.
-
E.
Doctors (British TV series)
Doctors is a long-running British daytime medical drama series that follows the professional and personal lives of staff and patients at a fictional general practice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439993bac8190a72f6af529bd7cce |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4603f88190a713bf8260329ac3 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.